Class/Object

com.microsoft.ml.spark

CNTKModel

Related Docs: object CNTKModel | package spark

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class CNTKModel extends Model[CNTKModel] with ComplexParamsWritable with HasMiniBatcher with Wrappable

Annotations
@InternalWrapper()
Linear Supertypes
Wrappable, HasMiniBatcher, ComplexParamsWritable, MLWritable, Model[CNTKModel], Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  3. By Inheritance
Inherited
  1. CNTKModel
  2. Wrappable
  3. HasMiniBatcher
  4. ComplexParamsWritable
  5. MLWritable
  6. Model
  7. Transformer
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CNTKModel()

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  2. new CNTKModel(uid: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. def BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

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    Definition Classes
    Wrappable

  6. def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

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    Definition Classes
    Wrappable

  7. def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

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    Definition Classes
    Wrappable

  8. def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

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    Definition Classes
    Wrappable

  9. def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

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    Definition Classes
    Wrappable

  10. def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

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    Definition Classes
    Wrappable

  11. def IntParam(i: Identifiable, name: String, description: String): IntParam

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    Definition Classes
    Wrappable

  12. def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

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    Definition Classes
    Wrappable

  13. def LongParam(i: Identifiable, name: String, description: String): LongParam

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    Definition Classes
    Wrappable

  14. def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

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    Definition Classes
    Wrappable

  15. def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

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    Definition Classes
    Wrappable

  16. def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

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    Definition Classes
    Wrappable

  17. def StringParam(i: Identifiable, name: String, description: String): Param[String]

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    Definition Classes
    Wrappable

  18. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  19. val batchInput: BooleanParam

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  20. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable

  21. final def clear(param: Param[_]): CNTKModel.this.type

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    Definition Classes
    Params

  22. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  23. val convertOutputToDenseVector: BooleanParam

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  24. def copy(extra: ParamMap): CNTKModel.this.type

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    Definition Classes
    CNTKModel → Model → Transformer → PipelineStage → Params

  25. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  26. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  27. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  28. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  29. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  30. def explainParams(): String

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    Definition Classes
    Params

  31. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  32. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  33. val feedDict: MapParam[String, String]

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  34. val fetchDict: MapParam[String, String]

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  35. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  36. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  37. def getBatchInput: Boolean

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  38. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  39. def getConvertOutputToDenseVector: Boolean

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  40. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  41. def getFeedDict: Map[String, String]

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  42. def getFetchDict: Map[String, String]

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  43. def getInputCol: String

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  44. def getInputNode: String

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  45. def getInputNodeIndex: Int

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  46. def getInputShapes: List[Array[Int]]

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    Returns the dimensions of the required input

  47. def getMiniBatchSize: Int

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    Definition Classes
    HasMiniBatcher

  48. def getMiniBatcher: MiniBatchBase

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    Definition Classes
    HasMiniBatcher

  49. def getModel: SerializableFunction

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  50. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  51. def getOutputCol: String

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  52. def getOutputNode: String

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  53. def getOutputNodeIndex: Int

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  54. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  55. def getShapeOutput: Boolean

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  56. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  57. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  58. def hasParent: Boolean

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    Definition Classes
    Model

  59. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  60. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  61. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  62. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  63. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  64. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  65. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  66. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  67. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  68. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  69. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  70. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  71. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  72. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  73. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  74. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  75. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  76. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  77. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  78. val miniBatcher: TransformerParam

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    Size of minibatches.

    Size of minibatches. Must be greater than 0; default is 10

    Definition Classes
    HasMiniBatcher

  79. val model: CNTKFunctionParam

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    Array of bytes containing the serialized CNTK Function

    Array of bytes containing the serialized CNTK Function

  80. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  81. final def notify(): Unit

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    Definition Classes
    AnyRef

  82. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  83. val paramDomains: Map[String, Seq[String]]

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    Definition Classes
    Wrappable

  84. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  85. var parent: Estimator[CNTKModel]

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    Definition Classes
    Model

  86. def rebroadcastCNTKModel(spark: SparkSession): Unit

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  87. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  88. final def set(paramPair: ParamPair[_]): CNTKModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  89. final def set(param: String, value: Any): CNTKModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  90. final def set[T](param: Param[T], value: T): CNTKModel.this.type

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    Definition Classes
    Params

  91. def setBatchInput(v: Boolean): CNTKModel.this.type

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  92. def setConvertOutputToDenseVector(v: Boolean): CNTKModel.this.type

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  93. final def setDefault(paramPairs: ParamPair[_]*): CNTKModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  94. final def setDefault[T](param: Param[T], value: T): CNTKModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  95. def setFeedDict(k: String, v: String): CNTKModel.this.type

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  96. def setFeedDict(value: Map[String, String]): CNTKModel.this.type

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  97. def setFetchDict(k: String, v: String): CNTKModel.this.type

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  98. def setFetchDict(value: Map[String, String]): CNTKModel.this.type

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  99. def setInputCol(value: String): CNTKModel.this.type

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  100. def setInputNode(value: String): CNTKModel.this.type

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  101. def setInputNodeIndex(value: Int): CNTKModel.this.type

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  102. def setMiniBatchSize(n: Int): CNTKModel.this.type

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    Definition Classes
    HasMiniBatcher

  103. def setMiniBatcher(value: MiniBatchBase): CNTKModel.this.type

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    Definition Classes
    HasMiniBatcher

  104. def setModel(value: SerializableFunction): CNTKModel.this.type

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  105. def setModelLocation(path: String): CNTKModel.this.type

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  106. def setOutputCol(value: String): CNTKModel.this.type

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  107. def setOutputNode(value: String): CNTKModel.this.type

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  108. def setOutputNodeIndex(value: Int): CNTKModel.this.type

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  109. def setParent(parent: Estimator[CNTKModel]): CNTKModel

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    Definition Classes
    Model

  110. def setShapeOutput(v: Boolean): CNTKModel.this.type

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  111. val shapeOutput: BooleanParam

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  112. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  113. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  114. def transform(dataset: Dataset[_]): DataFrame

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    Evaluate the model

    Evaluate the model

    dataset

    the dataset to featurize

    returns

    featurized dataset

    Definition Classes
    CNTKModel → Transformer

  115. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  116. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  117. def transformSchema(schema: StructType): StructType

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    Definition Classes
    CNTKModel → PipelineStage

  118. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  119. val uid: String

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    Definition Classes
    CNTKModel → Identifiable

  120. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  121. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  122. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  123. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from Wrappable

Inherited from HasMiniBatcher

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Model[CNTKModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members